Triple

T13376517
Position Surface form Disambiguated ID Type / Status
Subject Oliver P. Smith E319200 entity
Predicate givenName P17 FINISHED
Object Oliver E5613 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Oliver | Statement: [Oliver P. Smith, givenName, Oliver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oliver
Context triple: [Oliver P. Smith, givenName, Oliver]
  • A. Oliver chosen
    Oliver is the given name of Oliver Wendell Holmes Sr., a prominent 19th-century American physician, poet, and essayist.
  • B. Oliver
    Oliver is a small town in British Columbia’s Okanagan Valley, known for its vineyards and wineries and often called the "Wine Capital of Canada."
  • C. Oliver
    Oliver is a character in Shakespeare's comedy "As You Like It," known as Orlando's cruel elder brother who later undergoes a significant moral transformation.
  • D. Oliver
    Oliver is one of the central teen protagonists in the Disney XD series "Mighty Med," known for his encyclopedic knowledge of superheroes and role as a young doctor-in-training at a secret superhero hospital.
  • E. Oliver
    Oliver is a central character in Robert Silverberg’s science fiction novel "The Book of Skulls," one of four college students who seek an ancient monastic order promising immortality at a deadly price.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce3fec48190a5443d87c85477a3 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72684f3408190952d2619b6b8d241 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.